To familiarize students with knowledge discovery in data sources, to explain useful knowledge types and the steps of the knowledge discovery process, and to familiarize them with techniques, algorithms and tools used in the process.

A mid-term test, formulation of a data mining task, presentation of the project. The minimal number of points which can be obtained from the final exam is 20. Otherwise, no points will be assigned to the student.

Progress assessment:

A mid-term test, formulation of a data mining task, presentation of the project.

Exam prerequisites:

Duty credit consists of working-out the project, defending project results and of obtaining at least 24 points for activities during semester.